Generate FAIR Literature Surveys with Scholarly Knowledge Graphs
A. Oelen, M. Y. Jaradeh, M. Stocker, S. Auer

TL;DR
This paper introduces a system leveraging scholarly knowledge graphs to facilitate literature reviews by comparing research contributions, aligning descriptions, and enabling FAIR-compliant publication of surveys, thus streamlining research synthesis.
Contribution
It presents a novel methodology and system for comparing scholarly literature using knowledge graphs, including tasks like finding, aligning, visualizing, and publishing research contributions.
Findings
Effective comparison of research contributions demonstrated
System supports FAIR-compliant publication of surveys
Evaluation shows promising results using published review data
Abstract
Reviewing scientific literature is a cumbersome, time consuming but crucial activity in research. Leveraging a scholarly knowledge graph, we present a methodology and a system for comparing scholarly literature, in particular research contributions describing the addressed problem, utilized materials, employed methods and yielded results. The system can be used by researchers to quickly get familiar with existing work in a specific research domain (e.g., a concrete research question or hypothesis). Additionally, it can be used to publish literature surveys following the FAIR Data Principles. The methodology to create a research contribution comparison consists of multiple tasks, specifically: (a) finding similar contributions, (b) aligning contribution descriptions, (c) visualizing and finally (d) publishing the comparison. The methodology is implemented within the Open Research…
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